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1
tesis doctoral
Publicado 2001
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Desarrolla un nuevo modelo de computación neuronal basado en moléculas e interacciones moleculares. Es un modelo jerárquico: nivel molecular, nivel celular y nivel de organismo. El modelo se aplicó para resolver problemas de aprendizaje de máquina y tiene aplicaciones en inteligencia artificial.
2
tesis de grado
Publicado 2020
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It is known that 33% of traffic accidents worldwide are caused by drunk driving or drowsiness [1] [2], so a drowsiness level detection system that integrates image processing was developed with the use of Raspberry Pi3 with the OpenCV library; and sensors such as MQ-3 that measures the percentage of alcohol and the S9 sensor that measures the heart rate. In addition, it has an alert system and as an interface for the visualization of the data measured by the sensors a touch screen. With the image processing technique, facial expressions are analyzed, while physiological behaviors such as heart rate and alcohol percentage are measured with the sensors. In image test training you get an accuracy of x in a response time of x seconds. On the other hand, the evaluation of the operation of the sensors in 90% effective. So the method developed is effective and feasible
3
tesis de grado
Publicado 2023
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In this work, it is necessary to analyze the increase of Back Order in the attention of crossdocking orders in the attention of Homecenter customers due to the lack of definition of purchase planning processes, resulting in logistics costs, fill rate charges and low service level. Thus, it is intended the companies that handle high volumes of inventory and constant orders should have a forecast plan to cover possible stock-outs. The main purpose of the research is to explain a way to prevent stock-outs using an artificial intelligence model, based on historical sales data of a medium-sized company that manages inventories, as well as to determine the machine earning model to predict and reduce backorders. For the data analysis, the Orange software was used, where the data was trained with different artificial intelligence models such as Decision Tree, Support Vector Machine, Random Fores...
4
artículo
Publicado 2017
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Peruvian retail market today, more than ever, has turned the phrase “everything goes through the eyes” into a competitive tool. The design and optimization of space, as well as visual merchandising, are techniques that impact the sale new concepts such as omnicanality and buying experience are fed by data analytics in order to describe the commercial mode; and new qualitative sources of information, among them color theory, specially help to understand and predict the impact of future decisions on the point of sale. This paper describes the utility of image processing techniques to innovate the retail market in the effort to extract useful information from advertising pieces frequently used in this sector.
5
artículo
Publicado 2017
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Peruvian retail market today, more than ever, has turned the phrase “everything goes through the eyes” into a competitive tool. The design and optimization of space, as well as visual merchandising, are techniques that impact the sale new concepts such as omnicanality and buying experience are fed by data analytics in order to describe the commercial mode; and new qualitative sources of information, among them color theory, specially help to understand and predict the impact of future decisions on the point of sale. This paper describes the utility of image processing techniques to innovate the retail market in the effort to extract useful information from advertising pieces frequently used in this sector.
6
artículo
Publicado 2024
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Denoising diffusion probabilistic models (DDPMs) have demonstrated significant potential in addressing complex image processing challenges. This paper explores the application of DDPMs in three different areas: reconstruction of remote sensing imagery affected by cloud cover, reconstruction of facial images with occluded areas, and segmentation of bodies of water from remote sensing imagery. Inpainting involves filling in missing regions in images, while DDPMs act as data generators capable of synthesizing information that alings coherently with the context of the original data. Inspired by the inpainting technique, the RePaint approach was adapted and applied to reconstruction tasks. The WaterSegDiff approach, which uses a diffusion model as a backbone, was employed for the segmentation task. To illustrate the model’s behavior and provide examples of the tasks, experiments were carrie...
7
artículo
Publicado 2024
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Denoising diffusion probabilistic models (DDPMs) have demonstrated significant potential in addressing complex image processing challenges. This paper explores the application of DDPMs in three different areas: reconstruction of remote sensing imagery affected by cloud cover, reconstruction of facial images with occluded areas, and segmentation of bodies of water from remote sensing imagery. Inpainting involves filling in missing regions in images, while DDPMs act as data generators capable of synthesizing information that alings coherently with the context of the original data. Inspired by the inpainting technique, the RePaint approach was adapted and applied to reconstruction tasks. The WaterSegDiff approach, which uses a diffusion model as a backbone, was employed for the segmentation task. To illustrate the model’s behavior and provide examples of the tasks, experiments were carrie...
8
objeto de conferencia
Publicado 2021
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El texto completo de este trabajo no está disponible en el Repositorio Académico UPN por restricciones de la casa editorial donde ha sido publicado.
9
tesis doctoral
Publicado 2024
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This dissertation investigates the potential improvement of volcanic eruption understanding and forecasting methods by using advanced data processing techniques to analyze large datasets at three target volcanoes (Piton de la Fournaise (PdlF) (France), Sabancaya, and Ubinas (Peru)). The central objective of this study is to search for possible empirical relationships between the pre-eruptive behavior of the accelerated increase in seismic activity using the Failure Forecast Method (FFM) and velocity variations measured by Coda Wave Interferometry (CWI), since both observations are reported to be independently associated with medium damage. The FFM is a deterministic method used to forecast volcanic eruptions using an empirical relationship of increased and accelerated evolution of an observable (e.g., volcano-seismic event rates). The event rates used with FFM in this study were generate...
10
tesis doctoral
Publicado 2024
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This dissertation investigates the potential improvement of volcanic eruption understanding and forecasting methods by using advanced data processing techniques to analyze large datasets at three target volcanoes (Piton de la Fournaise (PdlF) (France), Sabancaya, and Ubinas (Peru)). The central objective of this study is to search for possible empirical relationships between the pre-eruptive behavior of the accelerated increase in seismic activity using the Failure Forecast Method (FFM) and velocity variations measured by Coda Wave Interferometry (CWI), since both observations are reported to be independently associated with medium damage. The FFM is a deterministic method used to forecast volcanic eruptions using an empirical relationship of increased and accelerated evolution of an observable (e.g., volcano-seismic event rates). The event rates used with FFM in this study were generate...
11
artículo
Publicado 2024
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The application of new technologies in the judicial process is a practice that became more common after the 2020 pandemic. This article analyzes 3 of the main vicissitudes that the use of these technologies has generated in Colombian judicial processes: as the sending of memorials through data messages, in relation to the so-called automatic notice of service, and about the vicissitudes that are occurring in virtual or digital hearings.
12
artículo
The way in which the PAD auditors see their function is very important for the success of any auditing internal, external or from third people. Unfortunately, the PDA administrador (Data Process) often considers the auditor like the man who shoots the wounded after the battle, while the PAD auditor perceive his function like preventive maintenance in the analysis and evaluation of reliability and integrity of data process systems. This article discusses the way in which the PAD auditor and the PD administration sees the function of the auditing and suggests how they can work together to improve that function.
13
artículo
The way in which the PAD auditors see their function is very important for the success of any auditing internal, external or from third people. Unfortunately, the PDA administrador (Data Process) often considers the auditor like the man who shoots the wounded after the battle, while the PAD auditor perceive his function like preventive maintenance in the analysis and evaluation of reliability and integrity of data process systems. This article discusses the way in which the PAD auditor and the PD administration sees the function of the auditing and suggests how they can work together to improve that function.
14
artículo
Publicado 2022
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The main objective of this explanatory research with a quantitative approach is to support the implementation and development of a “customer-centric” management system based on artificial intelligence (machine learning) as a recovery measure against the current context resulting from the global pandemic. In addition, through the approach of the necessary technological tools and the understanding of the target population, the aim is to redesign and automate the service process of the restaurants to achieve an effective optimization of time.
15
artículo
Publicado 2022
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The main objective of this explanatory research with a quantitative approach is to support the implementation and development of a “customer-centric” management system based on artificial intelligence (machine learning) as a recovery measure against the current context resulting from the global pandemic. In addition, through the approach of the necessary technological tools and the understanding of the target population, the aim is to redesign and automate the service process of the restaurants to achieve an effective optimization of time.
16
tesis de grado
Publicado 2024
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El presente trabajo de suficiencia profesional ejecutado, fue para realizar la instalación de un sistema neumático de etiquetado automático de envase de plástico de la planta de embotellado Soda Limón – Ica. El cual para el desarrollo se realizó un análisis de datos, estadísticas y proyección de la planta de embotellado a base de una memoria de cálculos respectivos para así tener en mejora la marca emblemática de la región Ica. Para el desarrollo fue trabajar juntamente con la gerencia y hacer una evolución minuciosa del mercado y el abastecimiento que da la empresa de embotellado con todos los diferentes tipos de variedades de sabores y tamaños tanto personales como familiares. El efecto fue favorable ya que las producciones tuvieron mejores rendimiento y mejor eficiencia en cada proceso el cual se puede cumplir con los presupuestos mensuales, así crecer en el mercado ...
17
artículo
Publicado 2018
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The objective of this study is to identify irrational beliefs and automatic thoughts in a couple relationship attended in a Psychological Services Center of a National University of Lima and provide knowledge of the psychodiagnostic process from the cognitive - behavioral approach. The couple is made up of a 23-year-old man and a 27-year-old woman. The History Opening Cards were applied; the Psychological Cognitive Behavioral History; Record of Opinions Form A, adapted by Percy Guzmán (2009) [10] and Inventory of Automatic Thoughts, adapted by Ruiz and Luján (1991) [8]. The study is exploratory with descriptive analysis. The results obtained indicate that the irrational beliefs with the highest percentage in men is the irrational belief B and C with 80%, while the highest percentage in women is the irrational belief A, B and C with 80%. The automatic thought with greater percentage in ...
18
artículo
Publicado 2018
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The financial industry has become into a very competitive sector worldwide. In that sense, the credit granting decision is one of the most important process of all, and in whose accuracy, rests the good performance of several critical business KPI's such as loans level, credit recoveries level and nonperforming loans ratios. This key process has historically based on the experts’ judgement, and have taken the decision of granting or not credit loans according to several customer credit behavior elements. In the last decade, the developing of certain technology such AI and machine learning has allowed this process automation. The present paper has its main goal, the analysis of several mathematical algorithms based on machine learning and the exposition of which of them have the better results in credit granting predictions to collaborate with current knowledge i...
19
tesis de grado
Publicado 2014
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Para realizar el diseño, hicimos uso de teoría de diseño de procesos, metodología de las 5S´s y técnicas de tiempos y movimientos, con las cuales se elaboró el procedimiento de puesta a punto, una hoja de cálculo de producción y de levas, para cada producto, con la ubicación exacta de herramientas y dispositivos requeridos en la puesta a punto. Con esta investigación se logrará mejorar los tiempos de puesta a punto, se evitará la dependencia de los programadores experimentados ya que el procedimiento y las hojas de cálculo facilitaran el montaje de las herramientas y dispositivos también se garantiza la calidad de mecanizado. La mejora ha sido verificada con el prototipo realizado en julio de 2013 en el área de tornos automáticos en los cuales se verifico una reducción de un promedio del 48% del tiempo de puestas a punto, lo que constituyo una reducción de costos de pr...
20
tesis de maestría
Publicado 2024
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The loss of biodiversity and criminal acts as a consequence of the lack of monitoring and control are closely linked to the scarce technology and limited supply of tools that support the activities of identification of the species of biodiversity present in the territory, mainly there are difficulties for the identification and classification of species of forest trees in the Amazon. For this reason, the objective of this research has been the development and implementation of a solution based on the use of Artificial Intelligence in the research line of image recognition, which has resulted in a hybrid model of supervised machine learning, which facilitates the classification of up to 40 species of Amazonian forest trees in Peru. A comparison has been made between different models of convolutional neural network (CNN) algorithms and classification algorithms such as vector machine (SVM)...
